Senior Observability Engineer (AI)

Location: Cambridge, Massachusetts, United States, and Warsaw, Poland; 70% in-office under a hybrid work model

Company

hirify.global is a biotechnology company developing mRNA medicines and supporting global operations through technology and business services.

What you will do

• Own the enterprise observability platform, including strategy, governance, capacity planning, telemetry coverage, cost optimization, and roadmap development.
• Design and operate scalable observability architectures for applications, infrastructure, cloud services, networks, containers, databases, distributed systems, and AI/LLM workloads.
• Build telemetry pipelines for metrics, traces, and logs across hybrid cloud and on-premises environments using OpenTelemetry, Prometheus, Grafana, VictoriaMetrics, Loki, and related technologies.
• Develop AI observability capabilities for agents, LLM applications, and agentic workflows, including prompt, response, latency, error, reliability, and cost monitoring.
• Automate operational processes and remediation with Python, Terraform, Ansible, CI/CD, and infrastructure-as-code practices.
• Integrate observability with PagerDuty, ServiceNow, Jira, and security workflows while supporting incident response, root cause analysis, dashboards, documentation, and training.

Requirements

• 7+ years of experience in site reliability engineering, observability engineering, platform engineering, or related technical disciplines.
• Hands-on experience designing, implementing, and operating modern observability platforms and working with metrics, logs, traces, telemetry pipelines, SLOs, and SLIs.
• Experience supporting applications, infrastructure, containers, cloud services, distributed systems, and hybrid environments using AWS and/or Azure.
• Experience with observability technologies such as OpenTelemetry, Prometheus, Grafana, VictoriaMetrics, Elastic, Datadog, or Dynatrace.
• Hands-on automation and infrastructure-as-code experience with Python, Terraform, Ansible, or Bash.
• Strong analytical, troubleshooting, communication, and stakeholder management skills; applications must be submitted in English with an English CV.

Nice to have

• Experience in biotech, pharmaceutical, healthcare, or other regulated environments, including GxP or HIPAA.
• Experience with AI observability tools such as Langfuse, Arize, Phoenix, or LangSmith.
• Experience monitoring AI agents, LLM applications, retrieval systems, or agentic workflows.
• Experience with enterprise logging strategies and integrations with PagerDuty, ServiceNow, or Jira.
• Relevant AWS, Azure, Kubernetes, or observability certifications.

Culture & Benefits

• Hybrid 70/30 work model emphasizing in-office collaboration, teamwork, and direct mentorship.
• Healthcare and voluntary benefit programs.
• Fitness, mindfulness, and mental health resources.
• Family-building support covering fertility, adoption, and surrogacy.
• Paid vacation, bank holidays, volunteer days, sabbatical, global recharge days, and year-end shutdown.
• Savings and investment programs with location-specific benefits.